Abstract Machine learning offers a fantastically powerful toolkit for building useful com- The challenges of building machine learning tools for the masses
hidden technical debt in machine learning systems
A Review in Recent Development of 5 Axis CNC Milling Machine Tool Operations Mohsen Sooriand Mohammed Machine learning in the engineering crack identification problems soil mass-ground adjacent building system Frontiers of
Data Driven Computing and Machine Learning in Engineering
the field of artificial intelligence (AI), such as computer vision, machine more complex problems willing to place bets on AI tools vs building their own
AI for the Masses White Paper by Blue Prism Axis Group Oct
Oct 29 2018 Data dependencies have been found to build similar debt as code dependencies. Few tools currently exist for evaluating and analyzing data ...
Machine learning offers a fantastically powerful toolkit for building useful com- The challenges of building machine learning tools for the masses.
Emerging research addresses this issue by creating ML tools that are easy and accessible to people who are not formally trained in. ML (“non-experts”). This
has been made thus far we discuss some of the challenges we face in moving the field forward. Introduction. Machine learning is a powerful tool for
Notes from the AI frontier: Applications and value of deep learning. On the people front much of the construction and optimization of deep neural networks
Creating an enabling environment for the use of new technologies in AI and machine learning tools or solutions can also generate more accurate.
People Analytics Tool to Build Equitable Workplaces. Artificial intelligence and machine learning are revolutionizing the practice of HR management.
Mar 15 2016 Here we present two challenge problems for machine learning and AI: learning simple visual concepts. (Lake
Together we build tailored people and organisation solutions with a deep HR challenges – at a time when business leaders are already wrestling with ...
Mass-spectrometry-based proteomics enables quantitative analysis of thousands of human proteins. How- ever experimental and computational challenges
Software Engineering Challenges of Deep Learning